Recent innovations in artificial intelligence and smart applications / / Mostafa Al-Emran, Khaled Shaalan, editors

• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (387 pages)
• Disciplina: 005.365
• Soggetto topico: Application software; Artificial intelligence
• Persona (resp. second.): Al-EmranMostafa; ShaalanKhaled
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- AI Models and Methods in Automotive Manufacturing: A Systematic Literature Review -- 1 Introduction -- 2 Background and Theoretical Foundations -- 2.1 Principles of the Automotive Industry -- 2.2 AI in the Context of Automotive Manufacturing -- 3 Research Methodology -- 3.1 Systematic Literature Review -- 3.2 Literature Identification and Evaluation -- 4 Research Results -- 4.1 General Results -- 4.2 Current Models and Methods of AI in Automotive Manufacturing -- 4.3 Contemporary Applications and Best Practices of AI in Automotive Manufacturing -- 4.4 Issues and Problems -- 4.5 Future Trends and Potential Innovations -- 5 Conclusion -- References -- Edge AI: Leveraging the Full Potential of Deep Learning -- 1 Introduction -- 2 Edge Artificial Intelligence -- 3 Benefits of Edge AI -- 4 Deep Learning -- 5 Compression Techniques for Efficient Edge AI -- 5.1 Compact DL Model Design -- 5.2 Pruning -- 5.3 Quantization -- 5.4 Knowledge Distillation -- 5.5 Adaptive Optimization Techniques -- 6 Algorithm-Hardware Codesign -- 7 Edge AI Hardware Platforms -- 8 Edge AI Applications -- 9 Challenges and Future Directions -- 10 Conclusion -- References -- Augmented Reality Technology: A Systematic Review on Gaming Strategy for Medication Adherence -- 1 Introduction -- 2 Evolution of Augmented Reality in Video Games -- 3 Methodology -- 3.1 AR in Gaming -- 3.2 Impact of AR Games for Medication Adherence -- 3.3 Elements of Gaming that Improves Adherence -- 4 Promotion of Healthy Behaviors Through Gaming -- 5 Challenges of Using AR -- 6 Conclusion -- 6.1 Theoretical Contributions -- 6.2 Practical Consequences -- 6.3 Limitations and Future Work -- References -- A Systematic Review on the Relationship Between Artificial Intelligence Techniques and Knowledge Management Processes -- 1 Introduction -- 2 Method. ; 2.1 Inclusion and Exclusion Criteria -- 2.2 Data Sources and Search Strategies -- 2.3 Quality Assessment -- 3 Results -- 3.1 Common AI Techniques Used in the Analyzed Literature -- 3.2 Relationship Between AI Techniques and KM Processes -- 4 Conclusion and Future Work -- References -- Monitoring Plant Growth in a Greenhouse Using IoT with the Energy-Efficient Wireless Sensor Network -- 1 Introduction -- 2 Literature Review -- 2.1 Internet of Things in Agriculture -- 2.2 Automation and Monitoring of Greenhouse -- 2.3 Greenhouse Automation -- 2.4 Indoor Farming -- 2.5 LED in Plant Growth -- 3 System Architecture -- 3.1 System Requirements -- 3.2 System Hardware -- 3.3 Website and Web Designing -- 3.4 Experimental Design -- 4 Results and Discussion -- 4.1 Sensor Efficiency -- 4.2 Power Consumption of the Sub-system -- 4.3 Microclimatic Variables Monitoring -- 4.4 Generation of Local-IP Address -- 4.5 Comparison of Sensor Readings -- 5 Conclusion -- 6 Future Work -- References -- Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory -- 1 Introduction -- 2 Theoretical Background and Hypotheses Development -- 2.1 Technology Acceptance Model -- 2.2 Perceived Risk Theory -- 2.3 Hypotheses -- 3 Methodology -- 3.1 Survey Design -- 3.2 Sample -- 3.3 Measures -- 3.4 Data Analysis -- 4 Results -- 4.1 Measurement Model -- 4.2 Hypotheses -- 5 Discussion and Conclusion -- 5.1 Theoretical Implications -- 5.2 Practical Implications -- 5.3 Limitations and Future Research Directions -- Appendix: Constructs and Items -- References -- Research Trends on the Role of Big Data in Artificial Intelligence: A Bibliometric Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Type and Approach of the Research -- 2.2 Search Equation -- 2.3 Exclusion Criteria in the Research -- 3 Results. ; 4 Practical Implications of the Study -- 5 Conclusions -- References -- Recent Applications of Artificial Intelligence for Sustainable Development in Smart Cities -- 1 Introduction -- 1.1 Importance of AI -- 1.2 How Will AI Power the Cities in Future? -- 1.3 AI Stats and Information -- 1.4 Machine Learning and AI -- 1.5 Deep Learning -- 1.6 AI and Smart Cities -- 2 Application Scenarios Where AI Might Have a Beneficial Influence on Smart Cities -- 2.1 Managing Traffic -- 2.2 Environment -- 2.3 Optimization of Energy -- 2.4 Public Transportation -- 2.5 Management of Waste -- 3 Recent Applications of AI -- 3.1 Cameras for High-Tech Surveillance and Security -- 3.2 Parking and Traffic Control System -- 3.3 Control of Uncontrollable Flying Things -- 3.4 Intelligence-Based System for Managing and Disposing of Waste -- 3.5 Controlling and Organizing the Government and Making Plans -- 3.6 Artificial-Intelligence-Enhanced Helpers -- 3.7 Machine Learning in the Classroom -- 3.8 Assisting Teachers with Automated Office Work -- 3.9 Putting Thoughtful Content Together -- 3.10 Learning that Adapts to the Needs of the Person Learning -- 3.11 AI Will Change Our Daily Lives -- 3.12 AI in the Healthcare Field -- 3.13 AI Is Being Used in Agriculture -- 3.14 Games that Use AI -- 3.15 AI Can Be Used in the Automotive Industry -- 3.16 AI Can Be Used in Social Media to Help People -- 3.17 AI Is Becoming More Common in Marketing -- 3.18 Chatbots that Use AI -- 3.19 AI Can Be Used in the Finance -- 4 Challenges and Future Research Directions -- 4.1 AI of Things (AIoT) -- 4.2 The Ability of Tools and Technologies to Work Together -- 4.3 Making Sure Your Privacy -- 4.4 Making the System More Accurate -- 5 Examples of AI -- 5.1 Maps and How to Use Them -- 5.2 Facial Expressions Can Be Read and Detected -- 5.3 Autocorrection and Text Editors -- 6 Discussion -- 7 Conclusion. ; References -- The Relevance of Individuals' Perceived Data Protection Level on Intention to Use Blockchain-Based Mobile Apps: An Experimental Study -- 1 Introduction -- 2 Theoretical Background -- 2.1 An Overview of Blockchain Technologies -- 2.2 Blockchain Technologies for Mobile App Development -- 2.3 Blockchain Data Protection and Individuals' Perceived Data Protection Level -- 2.4 The Moderator Role of Individuals' Need for Security -- 3 Method -- 4 Results -- 5 General Discussion and Conclusion -- References -- Exploring the Hidden Patterns in Maintenance Data to Predict Failures of Heavy Vehicles -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Data Analysis -- 4.1 Descriptive Analysis -- 4.2 Prediction Model Building -- 4.3 Model Validation -- 5 Results and Discussion -- 6 Conclusion and Recommendations -- 7 Research Implications -- 7.1 Practical Implications -- 7.2 Theoretical Implications -- References -- 11 Arabic Dialects Morphological Analyzers: A Survey -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 Egyptian Dialect -- 2.2 Levantine Dialect -- 2.3 Gulf Dialects -- 2.4 Yemeni Dialect -- 2.5 Tunisian Dialect -- 2.6 Algerian Dialect -- 2.7 Summary -- 3 ADMAs Synthesis -- 3.1 Challenges -- 3.2 Adopted Approaches -- 3.3 Proposed Solutions -- 4 Evaluation of ADMAs -- 5 Discussion -- 6 Conclusion and Perspectives -- References -- 12 The Large Annotated Corpus for the Arabic Language (LACAL) -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Natural Language Processing and Annotated Corpora -- 4 The Data Used in the Construction of Our Corpus -- 4.1 Classification of Documents by Date -- 4.2 The Classification of Documents by Field -- 5 Preprocessing of Documents Before Creating Our Annotated Corpus -- 6 Word Statistics in Our Corpus -- 6.1 The Distribution of Words by Period. ; 6.2 The Distribution of Words by Field -- 7 The Design of Our Large Annotated Corpus for Arabic Language -- 7.1 The Different Tables of Our Annotated Corpus -- 7.2 The Creation of the Annotated Corpus -- 8 Conclusion -- References -- 13 Topic Modelling for Research Perception: Techniques, Processes and a Case Study -- Abstract -- 1 Introduction -- 1.1 Statement of the Problem -- 2 Topic Modelling -- 2.1 Approaches in Topic Modelling -- 2.2 Techniques in Topic Modelling -- 2.3 Generic Topic Modelling Process -- 2.4 Current Research Trends in Topic Modelling -- 2.5 Application of Topic Modelling -- 3 A Case Study: Discovering Perception in e-Commerce Analytics Literature -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Topic Tuning and Applying LDA Algorithm -- 3.4 Evaluating Topic Modelling Performance -- 3.5 Interpreting Topic Modelling Results -- 4 Results and Discussion -- 4.1 Practical Implication -- 5 Conclusion -- References -- A Survey on Crowdsourcing Applications in Smart Cities -- 1 Introduction -- 2 Environmental -- 3 Urban Life -- 4 Transportation -- 5 Conclusion -- References -- Markov Switching Model for Driver Behavior Prediction: Use Cases on Smartphones -- 1 Introduction -- 2 Related Work -- 2.1 Driver Behavior Models -- 2.2 Driving Behavior Detection Using Smartphones -- 3 Methodology -- 3.1 Markov Switching Vector Auto-regressive Model -- 4 Experimentation -- 4.1 Car Following Data Set -- 4.2 Data Collection -- 4.3 Adopted Driving Behavior Model -- 5 Results and Discussion -- 5.1 Results of Data Collected Using Smartphones -- 5.2 Results of the Naturalistic Driving Data -- 5.3 MSVAR Versus PrARX -- 6 Conclusions and Future Work -- References -- Understanding the Impact of the Ontology of Semantic Web in Knowledge Representation: A Systematic Review -- 1 Introduction -- 2 Definitions. ; 2.1 Knowledge Representation and Reasoning.
• Titolo autorizzato: Recent innovations in artificial intelligence and smart applications
• ISBN: 3-031-14748-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910616383303321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in computational intelligence ; ; Volume 1061.